Recommendation
16 methods in the atlas attack this one problem. They are rivals: each wins something the others do not.
Phrasings that mean this problem
RecommendationRecommendation rankingImplicit recommendationSparse predictionCandidate retrievalRating predictionClick predictionSequential recommendation
recommender-causal
- User-based collaborative filteringCosine neighbor similaritycanonrecommender-causal
- Item-based collaborative filteringAdjusted cosine similaritycanonrecommender-causal
- Matrix factorizationStochastic gradient descentcanonrecommender-causal
- Alternating least squaresImplicit-feedback weightingcanonrecommender-causal
- Neural collaborative filteringstandalonestandardrecommender-causal
- Content-based filteringTF-IDF item profilesstandardrecommender-causal
- SVD++Implicit-feedback factorsstandardrecommender-causal
- Slope onestandalonespecialistrecommender-causal
- Bayesian personalized rankingPairwise ranking lossstandardrecommender-causal
- Factorization machinesPairwise feature interactionsstandardrecommender-causal
- Field-aware factorization machinesstandalonespecialistrecommender-causal
- DeepFMFM plus deep networkspecialistrecommender-causal
- Wide and deepMemorization plus generalizationspecialistrecommender-causal
- Two-tower retrievalDual-encoder dot productstandardrecommender-causal
- Session-based GRU4Recstandalonespecialistrecommender-causal
- SASRecSelf-attentive sequencesspecialistrecommender-causal